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[2604.02525] AdaHOP: Fast and Accurate Low-Precision Training via Outlier-Pattern-Aware Rotation
Llms

[2604.02525] AdaHOP: Fast and Accurate Low-Precision Training via Outlier-Pattern-Aware Rotation

Abstract page for arXiv paper 2604.02525: AdaHOP: Fast and Accurate Low-Precision Training via Outlier-Pattern-Aware Rotation

arXiv - Machine Learning · 4 min ·
[2604.02511] Re-analysis of the Human Transcription Factor Atlas Recovers TF-Specific Signatures from Pooled Single-Cell Screens with Missing Controls
Data Science

[2604.02511] Re-analysis of the Human Transcription Factor Atlas Recovers TF-Specific Signatures from Pooled Single-Cell Screens with Missing Controls

Abstract page for arXiv paper 2604.02511: Re-analysis of the Human Transcription Factor Atlas Recovers TF-Specific Signatures from Pooled...

arXiv - Machine Learning · 4 min ·
[2604.02488] Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery
Ai Startups

[2604.02488] Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery

Abstract page for arXiv paper 2604.02488: Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Di...

arXiv - Machine Learning · 4 min ·
[2604.02482] SEDGE: Structural Extrapolated Data Generation

[2604.02482] SEDGE: Structural Extrapolated Data Generation

Abstract page for arXiv paper 2604.02482: SEDGE: Structural Extrapolated Data Generation

arXiv - Machine Learning · 3 min ·
[2604.02474] Time-Warping Recurrent Neural Networks for Transfer Learning
Machine Learning

[2604.02474] Time-Warping Recurrent Neural Networks for Transfer Learning

Abstract page for arXiv paper 2604.02474: Time-Warping Recurrent Neural Networks for Transfer Learning

arXiv - Machine Learning · 4 min ·
[2604.02472] VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales
Machine Learning

[2604.02472] VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales

Abstract page for arXiv paper 2604.02472: VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales

arXiv - Machine Learning · 3 min ·
[2604.02459] On the Geometric Structure of Layer Updates in Deep Language Models
Llms

[2604.02459] On the Geometric Structure of Layer Updates in Deep Language Models

Abstract page for arXiv paper 2604.02459: On the Geometric Structure of Layer Updates in Deep Language Models

arXiv - AI · 4 min ·
[2604.02450] Do We Need Frontier Models to Verify Mathematical Proofs?
Llms

[2604.02450] Do We Need Frontier Models to Verify Mathematical Proofs?

Abstract page for arXiv paper 2604.02450: Do We Need Frontier Models to Verify Mathematical Proofs?

arXiv - AI · 4 min ·
[2604.02445] Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD
Ai Startups

[2604.02445] Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD

Abstract page for arXiv paper 2604.02445: Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD

arXiv - Machine Learning · 3 min ·
[2604.02438] Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models
Machine Learning

[2604.02438] Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models

Abstract page for arXiv paper 2604.02438: Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using P...

arXiv - Machine Learning · 4 min ·
[2604.02430] Self-Directed Task Identification
Machine Learning

[2604.02430] Self-Directed Task Identification

Abstract page for arXiv paper 2604.02430: Self-Directed Task Identification

arXiv - AI · 3 min ·
[2604.02355] From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation
Generative Ai

[2604.02355] From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation

Abstract page for arXiv paper 2604.02355: From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Imag...

arXiv - Machine Learning · 3 min ·
[2604.02393] Dynamical structure of vanishing gradient and overfitting in multi-layer perceptrons
Machine Learning

[2604.02393] Dynamical structure of vanishing gradient and overfitting in multi-layer perceptrons

Abstract page for arXiv paper 2604.02393: Dynamical structure of vanishing gradient and overfitting in multi-layer perceptrons

arXiv - Machine Learning · 3 min ·
[2604.02378] YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches
Ai Startups

[2604.02378] YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches

Abstract page for arXiv paper 2604.02378: YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches

arXiv - Machine Learning · 3 min ·
[2604.02353] Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning

[2604.02353] Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning

Abstract page for arXiv paper 2604.02353: Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning

arXiv - AI · 4 min ·
[2604.02352] An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code
Llms

[2604.02352] An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code

Abstract page for arXiv paper 2604.02352: An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code

arXiv - AI · 3 min ·
[2604.02351] Modeling and Controlling Deployment Reliability under Temporal Distribution Shift
Machine Learning

[2604.02351] Modeling and Controlling Deployment Reliability under Temporal Distribution Shift

Abstract page for arXiv paper 2604.02351: Modeling and Controlling Deployment Reliability under Temporal Distribution Shift

arXiv - Machine Learning · 3 min ·
[2604.02350] Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility
Machine Learning

[2604.02350] Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility

Abstract page for arXiv paper 2604.02350: Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned F...

arXiv - AI · 3 min ·
[2604.02349] OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
Data Science

[2604.02349] OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration

Abstract page for arXiv paper 2604.02349: OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration

arXiv - AI · 3 min ·
[2604.02348] Contextual Intelligence The Next Leap for Reinforcement Learning
Machine Learning

[2604.02348] Contextual Intelligence The Next Leap for Reinforcement Learning

Abstract page for arXiv paper 2604.02348: Contextual Intelligence The Next Leap for Reinforcement Learning

arXiv - Machine Learning · 4 min ·